Assessing-Machine
A machine that assesses possible outcomes.
In order to launch it from the command line or as a Python subprocess:
echo "Theodotos-Alexandreus: What is your assessment, machine?" \
| uvx assessing-machine \
--provider-api-key sk-proj-... \
--github-token ghp_...
Or, with a local pip installation:
pip install assessing-machine
Set the environment variables:
export PROVIDER_API_KEY="sk-proj-..."
export GITHUB_TOKEN="ghp_..."
Then:
assessing-machine -a multilogue.txt
Or:
assessing-machine multilogue.txt > response.txt
Or:
assessing-machine -a multilogue.txt > tmp && echo tmp > multilogue.txt
Or use it in your Python code:
# Python
import assessing_machine
2 maintainers
Metadata
2 maintainers
Release files for assessing-machine 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| assessing_machine-0.0.1.tar.gz | 17.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| assessing_machine-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.6 kB
Release files / assessing_machine-0.0.1.tar.gz
| Download URL | assessing_machine-0.0.1.tar.gz |
|---|---|
| Size | 17.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / assessing_machine-0.0.1-py3-none-any.whl
| Download URL | assessing_machine-0.0.1-py3-none-any.whl |
|---|---|
| Size | 27.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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